Strategic Analytics [Multiple Positions Available]

DESCRIPTION:

Duties: Collect, organize, interpret, and summarize numerical data from multiple sources to develop risk strategy.

Coordinate loan and pay overtime strategies as well as portfolio analytics.

Conduct risk analysis to generate recommendations.

Build and optimize risk strategies.

Collaborate with partners to implement strategies, ensure operational controls, and monitor performance.

Report analytical strategy recommendations to senior management.

Partner with execution team to implement, validate, and monitor the strategy quality and performance.

Ensure control and governance to manage operational risk.

Create documentation and audit controls surrounding strategies.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Financial Risk Management, Mathematics, Statistics, Economics, Finance, Engineering or related field of study plus 5 years of experience in the job offered or as Strategic Analytics, Portfolio Officer, Credit Analyst, Marketing Analytics or related occupation.

The employer will alternatively accept a PhD in Financial Risk Management, Mathematics, Statistics, Economics, Finance, Engineering or related field of study plus 3 years of experience in the job offered or as Strategic Analytics, Portfolio Officer, Credit Analyst, Marketing Analytics or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Applying credit risk analysis, including credit scoring models and risk assessment techniques; Pulling and analyzing credit and lending related data using tools such as SAS, SQL, or Python and extracting actionable insights on opportunities and performance; Managing credit card portfolios in the financial services industry; Analyzing regulatory requirements and compliance related to credit risk; Designing and implementing risk management strategies; Gathering and analyzing historical credit performance data including repayment behavior, delinquency trends, utilization levels, credit scores, repayment consistency and portfolio charge off rates, to identify patterns that predict risk using tools such as SAS, SQL, or Tableau; Collecting macroeconomic indicators that affect credit risk such as unemployment rates, GDP growth, or inflation; Performing statistical analysis of portfolio variables such as balance distributions, utilization levels and credit scores to identify central tendencies, variability and outliers that may indicate emerging risk; Using frequency distributions and time series plots to identify borrower segments exhibiting disproportionate risk; Analyzing the correlation between borrower credit scores and default rates to identify relationships; Designing visual dashboards and charts such as histograms, scatter plots, or heat maps to highlight risk insights, identify risky customer segments, and reveal correlations between key credit card attributes such as payment rates, utilization levels, or cash buffers, as well as emerging stre...